SC is the International Conference for
 High Performnance Computing, Networking, Storage and Analysis

SCHEDULE: NOV 13-19, 2010

Power-Aware Consolidation of Scientific Workflows in Virtualized Environments

SESSION: HPC on Clouds


TIME: 2:30PM - 3:00PM

SESSION CHAIR: David Abramson

AUTHOR(S):Qian Zhu, Jiedan Zhu, Gagan Agrawal


The recent emergence of clouds with large, virtualized pools of compute and storage resources raises the possibility of a new compute paradigm for scientific research. With virtualization technologies, consolidation of scientific workflows presents a promising opportunity for energy and resource cost optimization, while achieving high performance. We have developed {em pSciMapper}, a power-aware consolidation framework for scientific workflows. We view consolidation as a hierarchical clustering problem, and introduce a distance metric that is based on interference between resource requirements. A dimensionality reduction method (KCCA) is used to relate the resource requirements to performance and power consumption. We have evaluated pSciMapper with both real-world and synthetic scientific workflows, and demonstrated that it is able to reduce power consumption by up to 56%, with less than 15% slowdown. Our experiments also show that scheduling overheads of pSciMapper are low, and it can scale well for workflows with hundreds of tasks.

Chair/Author Details:

David Abramson (Chair) - Monash University

Qian Zhu - Ohio State University

Jiedan Zhu - Ohio State University

Gagan Agrawal - Ohio State University

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The full paper can be found in the ACM Digital Library and IEEE Computer Society

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